标题:Identification method of traffic state based on cloud theory
作者:Gao, Hongyan ;Liu, Fasheng
通讯作者:Gao, H
作者机构:[Gao, Hongyan ;Liu, Fasheng ] College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, China
来源:Proceedings - 2nd IEEE International Conference on Advanced Computer Control, ICACC 2010
出版年:2010
卷:2
页码:182-186
DOI:10.1109/ICACC.2010.5487206
摘要:Traffic state identification is a key technology of dynamic guidance system. In view of the fuzziness and randomness of traffic state, this paper develops an algorithm of traffic state identification based on cloud theory. According to synthesized cloud theory, the synthesized evaluation cloud model is established by integrating clouds of different evaluation factors. Using x condition cloud generator and maximal decision method, the synthesized identified cloud model is built. Finally, the cloud similarity between the synthesized evaluation cloud and the synthesized identified cloud decides the identification results. The experiment results show that it is feasible and can be easily implemented. © 2010 IEEE.
收录类别:EI
资源类型:会议论文
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